Publication 1970 1. Loonkar, Y., & Robinson, J. D. (1970). Minimization of capital investment for batch processes. Calculation of optimum equipment sizes. Industrial Engineering and Process Design Development, 9, 625. Publication 1971 Publication 1972 Publication 1973 Publication 1974 Publication 1975 2. Sparrow, R. E., Forder, G. J., & Rippin, D. W. T. (1975). The choice of equipment sizes for multiproduct batch plants. Heuristics vs. branch and bound. Industrial Engineering and Chemical Process Design Development, 14, 197. Publication 1976 3. Eilon, S. and Chowdhury, I.G. (1976). Due dates in job shop scheduling. International Journal of Production Research, 14(2), 223{237. 4. Johns, W.R., G. Marketos and D.W.T. Rippin: The Optimal Design of Chemical Plant to Meet Time-varying Demands in the Presence of Technical and Commercial Uncertainty.Design Congress 76, F1, (1976). Publication 1977 5. Lenstra, J.K., Kan, A.H.G. Rinnooy and Brucker, P. (1977). Complexity of machine scheduling problems. Annals of Discrete Mathematics, 1, 343{362. 6. Panwalkar, S.S., and W. Iskander, “A survey of scheduling rules,” Operations Research, Volume 25, pages 45-61, 1977. 7. J.V. Jucker and R.C Carlson. The simple plant-location problem under uncertainty. Operations Res, 24:1045–1055, 1977. Publication 1978 8. Grossmann, I.E. and R.W.H. Sargent, "Optimum Design of Chemical Plants with Uncertain Parameters," AIChE J. 24, 1021 (1978). Publication 1979 9. Hayes, R.H. and Wheelwright, S.C. (1979). Link manufacturing process and product life cycles. Harvard Business Review, 57(1), 133{140 10. Mauderli, A. and Rippin, D.W.T. (1979). Production planning and scheduling for multipurpose batch chemical plants. Computers and Chemical Engineering, 3(1-4), 199{206. 11. Hitomi, K. Manufacturing Systems Engineering. London: Taylor & Francis Ltd., 1979. 12. Grossmann, I.E. and R.W.H. Sargent, "Optimum Design of Multipurpose Chemical Plants," Ind. Eng. Chem. Process Des. Development 18, 343 (1979). 13. Malik, R.K. and R.R. Hughes: Optimal Design of Flexible Chemical Processes. Comp.Chem. Eng. 3, 473 (1979).47 14. Graham, R.L., E.L. Lawler, J.K. Lenstra, A.H.G. Rinnooy Kan, “Optimization and approximation in deterministic machine scheduling: a survey,” Annals of Discrete Mathematics, Volume 5, pages 287326, 1979. 15. Baker, K., and Peterson, D. W., 1979. An analytical framework for evaluating rolling schedules. Management Science, 25, 4, 342-351. 16. Farn, C.K., and A.P. Muhlemann, “The dynamic aspects of a production scheduling problem,” International Journal of Production Research, Volume 17, pages 15-21, 1979. Publication 1980 17. Voudouris, T.V. and Grossmann, I.E. (1993). Optimal synthesis of multiproduct batch plants with cyclic scheduling and inventory considerations. Industrial and Engineering Chemistry Research, 32, 1962{1980. 18. Grossmann, I.E. and J. Santibanez, "Applications of Mixed Integer LinearProgramming in Process Synthesis," Computers and Chemical Engineering 4, 205(1980). Publication 1981 19. B. Ivanov, N. Bancheva, Algorithm for Setting Arbitrarily Structured Chemical Industrial Production in a Universal Chemical Industrial System, Proceedings of the International AMSE Conference "MODELLING & SIMULATION", July 1-3, 1981, Paris-sud, France, volume 4, pp. 5962, Editor AMSE. (English). 20. Green, G.I., and L.B. Appel, “An empirical analysis of job shop dispatch rule selection,” Journal of Operations Management, Volume 1, pages 197-203, 1981. 21. M.A.H. Dempster, M.L. Fisher, L. Jansen, B.J. Lageweg, J.K. Lenstra, and A.H.G. Rinnooy Kan. Analytical evaluation of hierarchical planning systems. Operations Research, 29:707–716, 1981. Publication 1982 22. Б.Б.Иванов, Метод за определяне на вариантите на разполагане на химико-технологично производство с линейна структура в универсална химико-технологична система Bulgarian Chemical Communications, v 15, No 3, pp. 274-283, 1982. (Bulgarian) 23. Б.Б.Иванов, Специализирана система за управление на данни при анализ и оптимизация на многоасортиментни химико-технологични системи Bulgarian Chemical Communications, v 15, No 2, pp. 163-172, 1982. (Bulgarian) 24. Reklaitis, G.V., 1982. Review of Scheduling of Process Operations. AIChESymposium 78, 119133.31 25. Muhlemann, A. P., Lockett, A. G., and Farn, C.-K., 1982. Job shop scheduling heuristics and frequency of scheduling. International Journal of Production Research, 20, 2, 227-241. 26. Grossmann, I.E. and K.P. Halemane, "A Decomposition Strategy for Designing Flexible Chemical Plants," AIChE J. 28, 686 (1982). 27. Grossmann, I.E., "Uncertainty and Flexibility in Chemical Process Design," CIT Engineering News 2, 13 (1982). 28. M.A.H. Dempster. A stochastic approach to hierarchical planning and scheduling. In M.A.H. Dempster, J.K. Lenstra, and A.H.G. Rinnooy Kan, editors, Deterministic and Stochastic Scheduling, pages 271–296. Reidel, Dordrecht, 1982. 29. Suhami, I., & Mah, R. S. H. (1982). Optimal design of multi-purpose batch plants. Industrial Engineering and Chemical Process Design Development, 21, 94. 30. Takamatsu, T., Hashimoto, I., & Hasebe, S. (1982). Optimal design and operation of a batch process with intermediate storage tanks. Industrial Engineering and Chemical Process Design Development, 21, 431. Vose, D. (1996). Quantitative risk analysis: A guide to Monte-Carlo simulation modeling. Hoboken: Wiley. Publication 1983 31. Хр. Бояджиев, Б. Иванов, Н. Банчева, Програмна Система за Оптимизация на Многоасортиментни Химико-Технологоични Системи, Химия и ндустрия, т. 55, No.6, стр. 268-271, 1983 (Bulgarian). 32. Halemane K. P. and I. E. Grossmann, Optimal Process Design under Uncertainty. AIChEJ. 29, 425 (1983)45 33. Chvatal, Linear Programming. Freeman (1983).Clay, R. L. and I. E. Grossmann, “A Disaggregation algorithm for the optimization of stochastic planning models,” Comput.Chem. Eng., 21, 751 (1997). 34. Grossmann, I.E., K.P. Halemane and R.E. Swaney, "Optimization Strategies for Flexible Chemical Processes," Computers and Chemical Engineering 7, 439 (1983). 35. Halemane, K.P. and I.E. Grossmann, "Optimal Process Design under Uncertainty,"AIChE J. 29(3), 425 (1983). 36. Avidan, A.I. and I.E. Grossmann, "FLEXPACK - A Computer Package for Optimal Multiperiod Design," Proceedings of the 3rd International Congress on Computers and Chemical Engineering (Paris), Vol. II, C-158 (1983). 37. Papoulias, S.A. and I.E. Grossmann, "A Structural Optimization Approach in Process Synthesis. Part I: Utility Systems," Computers and Chemical Engineering7, 695 (1983).2 38. Papoulias, S.A. and I.E. Grossmann, "A Structural Optimization Approach in Process Synthesis. Part II: Heat Recovery Networks," Computers and Chemical Engineering 7, 707 (1983). 39. Papoulias, S.A. and I.E. Grossmann, "A Structural Optimization Approach in Process Synthesis. Part III: Total Processing Systems," Computers and Chemical Engineering 7, 723 (1983). 40. Papoulias, S.A. and I.E. Grossmann, "Optimal Synthesis of Flexible Utility Systems," Proceedings of the 18th IECEC Conference, 2066-2071, Orlando (1983). 41. Reklaitis, G.V. and I.E. Grossmann (Eds), "The Status of Large-Scale Optimization," Computers and Chemical Engineering 7(5) (1983). 42. M.A.H. Dempster, M.L. Fisher, L. Jansen, B.J. Lageweg, J.K. Lenstra, and A.H.G. Rinnooy Kan. Analysis of heuristics for stochastic programming: results for hierarchical scheduling problems. Mathematics of Operations Research, 8:525–537, 1983. 43. Rippin, D. W. T. (1983). Design and operation of multi product and multi-purpose batch chemical plants: An analysis of problem structure. Computers and Chemical Engineering, 7, 463. 478 L. Cavin et al. / Computers and Chemical Engineering 28 (2004) 459–478 44. J. A. Bloom. Solving an electricity generation capacity expansion planning problem by generalized Benders’ decomposition. Operations Research, 31:84–100, 1983. Publication 1984 45. Н. Банчева, Б. Иванов, Хр. Бояджиев, Моделиране и Оптимизация на Многоасортиментни Химико-технологични Системи в Малотонажната Химия, доклад депозиран в пълен текст в ЦНТБ под No Нд 2874/1984, (Bulgarian). 46. Ivanov B., Chr. Boyadjiev, Optimal scheduling in multipurpose chemical industrial systems, Hungarian Journal of Industrial Chemistry, 12, 451-460, 1984. (English) 47. B. Ivanov, Boyadjiev Chr, Optimal Scheduling in Multi-purpose Chemical Industrial Systems, Hungarian Journal of Industrial Chemistry, Volume 12, pp. 451-460, 1984 (English) 48. Joglekar, G.S. and G.V. Reklaitis, “A simulator for batch and semi-continuous processes, Computers & Chemical Engineering, 8, 315-327 (1984). 49. Wight, O., 1984. Manufacturing Resource Planning: MRP II. Oliver Wight Limited Publications. ISBN 952-12-0895-3 Painotalo Gillot Oy _Abo 2001 50. Grossmann, I.E. and M. Morari, "Operability, Resiliency and Flexibility - ProcessDesign Objectives for a Changing World," Proceedings of 2nd InternationalConference on Foundations of ComputerAided Process Design (Eds. A.W.Westerberg and H.H. Chien), 931 (1984). 51. J.B.G. Frenk, A.H.G. Rinnooy Kan, and L. Stougie. A hierarchical scheduling problem with a wellsolvable second stage. Annals of Operations Research, 1:43–58, 1984. 52. J.K. Lenstra, A.H.G. Rinnooy Kan, and L. Stougie. A framework for the probabilistic analysis of hierarchical planning systems. Annals of Operations Research, 1:23–42, 1984. 53. A. B. Borison, P. A. Morris, and S. S. Oren. A state-of-the-world decomposition approach to dynamics and uncertainty in electric utility generation expansion planning. Operations Research, 32:1052– 1068, 1984. Publication 1985 54. Chr. Boyadjiev, B.Ivanov, J.Lazarov, B.Vulchanova, An adaptive Program System for Non-linear Optimization of Chemical Industrial Systems, AMSE Review, AMSE Press, Volume 2, No 3, 1985, p. 51-64 (English) 55. Parakrama, R., “Improving batch chemical processes,” The Chemical Engineer, 24-25 (September1985). 56. Swaney, R. E. and I. E. Grossmann, An Index for Operational Flexibility in Chemical Process Design. Part I - Formulation and Theory, AIChE J. 31, 621 (1985a) 57. Swaney, R. E. and I. E. Grossmann, An Index for Operational Flexibility in ChemicalProcess Design. Part II - Computational Algorithms, AIChE J. 31, 631 (1985b) 58. Yamamoto, M., and Nof, S. Y., 1985. Scheduling/rescheduling in the manufacturing operating system environment. International Journal of Production Research, 23, 4, 705-722. 59. Grossmann, I.E. and C. Floudas, "A New Approach for Evaluating Flexibility in Chemical Process Design," I. Chem. E. Symposium Series No. 92, 619 (1985). 60. Biegler, L.T. and I.E. Grossmann, "Strategies in the Optimization of Chemical Processes," Reviews in Chemical Engineering 3, 1 (1985). 61. Grossmann, I.E., "Mixed-integer Programming Approach for the Synthesis of Integrated Process Flow sheets," Computers and Chemical Engineering 9, 463(1985). 62. Westerberg, A.W. and I.E. Grossmann, "Process Synthesis Techniques in the Process Industries and Their Impact on Energy Use," EPRI Report, December 1, 1985. 63. KELLE, PETER. 1985. Safety Stock Planning In a Multi-stage Production-Inventory System. Engineering Costs and Production Economics 9:231-37. 64. NAGASAWA, HIROYUKI, NORIYUKI NISHIYAMA, and KATSUNDO HITOMI. 1985. Decision Analysis for Determining the Optimum Planning Horizon in Aggregate Production Planning. Part 2: Di®erence Between Planning Horizons in Weekly and in Monthly Schedulings. International Journal of Production Research 23(2):423-36. Publication 1986 65. Ch. B. Boyadjiev, B. B. Ivanov, N. G. Bancheva, One Approach for Determining Optimal Scheduling in a Multipurpose Chemical Industrial System, Hungarian .Journal of Industrial Chemistry, volume 14, pp. 393-401, 1986 (English). 66. Egli, U.M., D. W. T. Rippin, 1986. Short-term scheduling for multiproduct batchchemical plants. Computers & Chemical Engineering 10 (4), 303-325. 67. Rich, S.H., G.J. Prokopakis, 1986. Scheduling and sequencing of batch operations in amultipurpose plant. Industrial & Engineering Chemistry Process Design andDevelopment 25, 979-987. 68. Floudas, C.A. and I.E. Grossmann, "Synthesis of Flexible Heat Exchanger Networks for Multiperiod Operation," Computers and Chemical Engineering 10,153 (1986). 69. Vaselenak, J.A., I.E. Grossmann and A.W. Westerberg, "Heat Integration in Batch Processing," I.E.C. Process Design and Dev. 25, 357 (1986). 70. Biegler, L.T., I.E. Grossmann, G.L. Thompson and A.W. Westerberg, "Strategies for Optimal Process Redesign," Proceedings 4th Symposium on Energy Eng. Sci.,Argonne, IL, p. 102 (1986). 71. Floudas, C.A. and I.E. Grossmann, "Automatic Synthesis of Flexible Heat Exchanger Networks for Multiperiod Operation," ASME Advanced Energy SystemsAES-Vol. 2-1, 75 (1986). 72. TOCZYLOWSKI, E., K. NOWOSAD, H. JAGDEV, and K. S. HINDI. 1986. Aggregate Lot-size Scheduling for a Class of Two-stage Batch Manufacturing Systems. Large Scale Systems 11(2):165-75. 73. G.R. Bitran, E.A. Haas, and H. Matsuo. Production planning of style goods with high setup costs and forecast revisions. Oper. Res, 34:226–236, 1986. Publication 1987 74. Carlier, J. (1987). Scheduling jobs with release dates and tails on identical machines to minimize the makespan. European Journal of Operational Research, 29, 298{306. 75. Ford, F.N., Bradbard, D.A., Ledbetter, W.N. and Cox, J.F. (1987). Use of operations research in production management. Production and Inventory Management, 3rd Qtr., 59{62. 76. Grossmann, I.E. and C.A. Floudas (1987), Active Constraint Strategy for Flexibility Analysis in Chemical Processes, Computers and Chemical Engineering, Vol. 11, No. 6,pp. 675-693. 77. Ito,K.; Yokoyama, R.; Horii,S.; Matsumoto, Y.; Adagi, S. An optimal operational planning model for gas turbine cogeneration plants, In Tokyo International Gas Turbine Congress 1987. 78. Ku, H., D. Rajagopalan, and I. A. Karimi, “Scheduling in Batch Processes,” Chem. Eng. Prog., pages 35–45 (1987). 79. Douglas J. M. Conceptual Design of Chemical Processes. McGraw-Hill: NewYork, 1987. 80. Vaselenak, J.A., I.E. Grossmann and A.W. Westerberg, "An Embedding Formulation for the Optimal Scheduling and Design of Multipurpose Batch Plants," Ind. Eng. Chem. Res. 26, 139 (1987). 81. Vaselenak, J.A., I.E. Grossmann and A.W. Westerberg, "Optimal Retrofit Design of Multiproduct Batch Plants," Ind. Eng. Chem. Res. 26, 718 (1987). 82. Yeh, N. C., & Reklaitis, G. V. (1987). Synthesis and sizing of batch/ semicontinuous processes: Single product plants. Computers and Chemical Engineering, 11, 639. 83. E. M. Modiano. Derived demand and capacity planning under uncertainty. Operations Research, 35(2):185–197, 1987. Publication 1988 84. B. Ivanov, Vaklieva-Bancheva N., Boyadjiev Chr., An Automatic Optimal Design of Multiproduct Chemical Plants, Hungarian Journal of Industrial Chemistry, Volume 16, pp. 355-368, 1988 (English). 85. B. Ivanov, Vaklieva-Bancheva N., Boyadjiev Chr., One Approach for an Automatic Optimal Design of Multiproduct Chemical Plants, Chemical Engineering. Problems of Momentum, Heat and Mass Transfer, Seria Konferencie, volume 52, No 11, pp. 235-240, Wroclaw, Poland, 1988, Redaktor naukowy Maksymilian Pajak (English). 86. Ku, H., I.A. Karimi, 1988. Scheduling in serial multiproduct batch processes with finite interstage storage: A Mixed Integer linear program formulation. Industrial &Engineering Chemistry Research 27, 1840-1848. 87. Vollmann, T. E., Berry, W. L., Whybark, D. C., 1988. Manufacturing Planning and Control Systems. Richard D. Irwin, Inc. 88. Tabe, T., and Salvendy, G., 1988. Toward a hybrid intelligent system for scheduling and rescheduling of FMS. International Journal of Computer Integrated Manufacturing, 1, 3, 154164. 89. Olsbu, A., P.A. Loeken and I.E. Grossmann, "A Mixed-Integer Programming Model for the Design and Planning of Power Systems in Oil Production Platforms, Engineering Costs and Production, 14, 281 (1988). 90. Pistikopoulos, E.N. and I.E. Grossmann, "Optimal Retrofit Design for Improving Process Flexibility-Linear Systems," Computers and Chemical Engineering 12, 719(1988). 91. KONDILI E. C., PANTELIDES C. C. and SARGENT R. W. H.: A General Algorithm for Scheduling of Batch Operations, Proc. 3rd Intl. Symp. On Process Systems Engng., Sydney, Australia, 62-75, 1988 Publication 1989 92. Cheng, T.C.E. and Gupta, M. C. (1989). Survey of scheduling research involving due date determination decisions. European Journal of Operational Research, 38,156{166. 93. Sahinidis, N. V., I. E. Grossmann, R. E. Fornari, andM. Chathrathi, “Optimization Model for Long Range Planning in the Chemical Industry, Comput. Chem. Eng., 13(9), 1049–1063 (1989). 94. Perkins, J. R., and Kumar, P. R., 1989. Stable, distributed, real-time scheduling of flexible manufacturing/assembly/disassembly systems. IEEE Transactions on Automatic Control, 34, 2, 139-148. 95. Birewar, D. and I.E. Grossmann, "Incorporating Scheduling in the Optimal Design of Multiproduct Batch Plants," Computers and Chemical Engineering 13, 141(1989). 96. Birewar, D. and I.E. Grossmann, "Efficient Optimization Algorithms for Zero-Wait Scheduling of Multiproduct Batch Plants," Ind. Eng. Chem. Res. 28, 1333 (1989). 97. G. B. Dantzig. Decomposition techniques for large-scale electric power systems planning under uncertainty. In R. Sharda, B. L. Golden, E. Wasil, O. Balci, and W. Steward, editors, Impacts of Recent Computer Advances on Operations Research, pages 3–20. North-Holland, 1989. Publication 1990 98. B. Ivanov, Vaklieva-Bancheva N., Boyadjiev Chr., Optimal Load of Energy Supply Systems (ESS) During the Performance of Multipurpose Chemical Plants , Hungarian Journal of Industrial Chemistry, Volume 18, No.1, pp 55-66, 1990, (English). 99. Das, H., P. Cummings, M. LeVan, "Scheduling of Serial Multiproduct Batch Processes via Simulated Annealing," Computers and Chemical Engineering, Vol. 14, No. 12, pp.1351-1362 1990. 100.Shapiro, J.F. (1990), Mathematical Programming Models and Methods for Production Planning and Scheduling, to appear in Handbook of Operations Research & Management Science, Vol. 4, Logistics of Production and Inventory, forthcoming from North-Holland. 101.T. L. Magnanti and R. Vachani. A strong cutting plane for production scheduling with change overcosts. Oper. Res., 38(3):456{473, 1990. 102.Birewar, D. B. and I. E. Grossmann, “Simultaneous Production Planning and Scheduling of Multiproduct Batch Plants,” Ind.Eng. Chem. Res., 29, 570 (1990). 103.Huang, Y.-G., Kanal, L. N., and Tripathi, S. K., 1990. Reactive scheduling for a single machine: Problem definition, analysis, and heuristic solution. International Journal of Computer Integrated Manufacturing, 3, 1, 6-12. 104.Dutta, A., 1990. Reacting to scheduling exceptions in FMS environments. IIE Transactions, 22, 4, 300-314. 105.Matsuo, Hirofumi, “Cyclic scheduling problems in the two-machine permutation flow shop: complexity, worst-case, and average-case analysis,” Naval Research Logistics, Volume 37, pages 679-694, 1990. 106.Smith, Stephen F., Peng Si Ow, Jean-Yves Potvin, Nicola Muscettola, and Dirk C. Matthys, “An integrated framework for generating and revising factory schedules,” Journal of the Operational Research Society, Volume 41, Number 6, pages 539-552, 1990. 107.Birewar, D. and I.E. Grossmann, "Simultaneous Planning and Scheduling of Multiproduct Batch Plants," Ind. Eng. Chem. Res. 29, 570 (1990). 108.Birewar, D. and I.E. Grossmann, "Simultaneous Synthesis, Sizing and Scheduling of Multiproduct Batch Plants, Ind. Eng. Chem. Res. 29, 2242 (1990). 109.Morari, M. and I.E. Grossmann (Eds.), "Retrofit of a Heat Exchanger Network and Design of a Multiproduct Batch Plant," CACHE Process Design Case Studies, Volume 5 (1990). 110.BIREWAR, DEEPAK B., and IGNACIO E. GROSSMANN. 1990. Simultaneous Production Planning and Scheduling in Multiproduct Batch Plants. Industrial & Engineering Chemistry Research 29(4):570-80. 111.FEIRING, BRUCE R., and TEP SASTRI. 1990. Improving Production Planning By Utilizing Stochastic Programming. Computers and Industrial Engineering 19(1-4):53- 56. 112.Papageorgaki, S., & Reklaitis, G. V. (1990). Optimal design of multi-purpose batch plants. 1. Problem formulation. Industrial Engineering and Chemical Research, 29, 2054. Publication 1991 113. Ku, H. and Karimi, I. (1991). An evaluation of simulated annealing for batch process scheduling. Industrial and Engineering Chemistry Research, 30, 163{169. 114. Schneewei¼, Ch. (1999). Hierarchies in distributed decision making. Springer, Berlin. Shah, N. and Pantelides, C.C. (1991). Optimal long-term campaign planning and design of batch operations. Industrial and Engineering Chemistry Research, 30, 2308{2321. 115. Wellons, M.C. and Reklaitis, G.V. (1991). Scheduling of multipurpose batch chemical plants. 2. Multiple product campaign formation and production planning. Industrial and Engineering Chemistry Research, 30, 688{705. 116. Grossmann, I.E. and D.A. Straub: Recent Developments in the Evaluation and Optimization of Flexible Chemical Processes. Proceedings of COPE-91 (eds. Puigjaner,L. and A. Espuna), Barcelona, Spain,49-59 (1991) 117. N. V. Sahinidis and I. E. Grossman. Reformulation of multiperiod MILP models for planning and scheduling of chemical processes. Comp. Chem. Eng., 15(4):255{272, 1991. 118. Reklaitis, G. V., Perspectives on scheduling and planning of processoperations, In Presented at the Fourth international symposium on process systems engineering, Montebello, Canada(1991). 119. Shah, N. and C. C. Pantelides, “Optimal Long-Term Campaign Planning and Design of Batch Operations,” Ind. Eng. Chem.Res., 30, 2308–2321 (1991). 120. Ku, H., I.A. Karimi, 1991. An Evaluation of Simulated Annealing for Batch Process Scheduling. Industrial & Engineering Chemistry Research 30, 163-169. 121. Tsirukis, A., G.V. Reklaitis, 1991. A comprehensive framework for the scheduling of resource constrained multipurpose batch plants. Proceedings of the 4th International Symposium on Process Systems Engineering, Montebello, Canada, Paper III 20, 1-15. 122. Bean, James C., John R. Birge, John Mittenthal, and Charles E. Noon, “Matchup scheduling with multiple resources, release dates, and disruptions,” Operations Research, Volume 39, Number 3, pages 470-483, 1991. 123. Nof, Shimon Y., and F. Hank Grant, “Adaptive/predictive scheduling: review and a general framework,” Production Planning & Control, Volume 2, Number 4, pages 298-312, 1991. 124. Sahinidis, N.V. and I.E. Grossmann, "MINLP Model for Cyclic Multiproduct Scheduling on Continuous Parallel Lines," Computers and Chemical Engineering 15, 85 (1991). 125. Sahinidis, N.V. and I.E. Grossmann, "Multiperiod Investment Decision Model for Multiproduct Processing Networks," Ind. Eng. Chem. Research 29, 1165 (1991). Publication 1992 126. Н. Ваклиева-Банчева, Хр. Бояджиев, Б. Иванов, Многоасортиментни Химически Производства. I. Оптимално Оперативно Управление, Химия и индустрия, т.. 63, Nо 1, стр. 16-21, 1992., (Обзор), (Bulgarian). 127. Н. Ваклиева-Банчева, Б. Иванов, Хр. Бояджиев, Многоасортиментни Химически Производства. 2. Оптимално Проектиране на МХТС, Химия и индустрия, т. 63, Nо 4-5, стр. 19-24, 1992,, (Обзор), (Bulgarian). 128. K. L. Peneva, B. B. Ivanov, N. G. Vaklieva-Bancheva, A Simplified Method for Determination of the Heat Transfer Area in Case of Heat Integration of Two Batch Tanks, Bulgarian Chemical Communications, Volume. 25, No.1, 1992, pp. 73-84 (English). 129. Н. Ваклиева-Банчева, П. Константинов, Б. Иванов, Метод за Построяване на Максимално Независими Множества от Върхове на Граф при Задачи за Оперативно Управление на Многоцелеви Химико-технологични Системи, "Техническа мисъл", т. 29, No3, стр. 12-20, 1992 (Bulgarian). 130. B. Ivanov, K. Peneva, N. Bancheva, Heat Integration in Reactor Systems' at Fixed Time Interval, Proceedings. of Fourth Bulgarian-Hungarian Workshop, Chemical Engineering, Varna'92, pp. 31-34 , 1992 (English). 131. B. Ivanov, K. Peneva, N. Bancheva, Heat Integration of Batch Vessels at Fixed Time Interval. Part I: Schemes With Recicling Main Fluids, Hungarian Journal of Industrial Chemistry, Volume 20, pp. 225-231, 1992, (English). 132. B. Ivanov, K. Peneva, N. Bancheva, Heat Integration of Batch Vessels at Fixed Time Interval. Part II: Schemes with Intermediate Heating and Cooling Agents, Hungarian Journal of Industrial Chemistry, Volume 20, pp. 233-239, 1992 (English). 133. N. Vaklieva-Bantcheva, B. Ivanov, A Method for Determination the Horizon Constraints for Design Problem of Multipurpose Batch Chemical Plants, Proceedings. of Fourth Bulgarian-Hungarian Workshop, Chemical Engineering, Varna'92, pp. 28-30, 1992, (English). 134. N. Vaklieva-Bancheva, B. Ivanov A Method for Determination the Horizon constrains for Design Problems of Multipurpose Batch Chemical Plants, Proceedings. of Fourth BulgarianHungarian Workshop, Chemical Engineering, Varna'92, pp. 28-30 , 1992 (English) 135. Ivanov B., Vaklieva-Bancheva N., K.Peneva Heat integration in a Batch Bioreactor System Workshop on Bioprocess Simulation in Practice , april 14,1992, Graz, Austria (English) 136. Dooley, K.J. and Mahmoodi, F. (1992). Identi¯cation of robust scheduling heuristics:application of Taguchi methods in simulation studies. Computers and IndustrialEngineering, 22, 359{368. 137. IBM Systems Journal SC23-0519, 31(1) (1992).Ierapetritou, M. and C. A. Floudas, “E_ective continuous-time formulation for short-term scheduling,” Ind. Eng. Chem. Res.,37, 4341–4359 (1998). 138. Reklaitis, G. V., Overview of scheduling and planning of batch process operations, In NATO Advanced Study Institute—Batch Process Systems Engineering, Antalya, Turkey (1992). 139. Dhingra, J. S., Musser, K. L., and Blankenship, G. L., 1992. Real-time operations scheduling for flexible manufacturing systems. Proceeding of the 1992 Winter Simulation Conference, 849-855. 140. Church, L. K., and Uzsoy, R., 1992. Analysis of periodic and event-driven rescheduling policies in dynamic shops. International Journal of Computer Integrated Manufacturing, 5, 153-163. 141. Roundy, Robin, “Cyclic schedules for job shops with identical jobs,” Mathematics of Operations Research, Volume 17, Number 4, pages 842-865, 1992. 142. Watatani, Y., and Fujii, S., 1992. A study on rescheduling policy in production system. JAPAN/USA Symposium on Flexible Automation, Vol.2, ASME. 143. Chase, C., and Ramadge, P. J., 1992. On real-time scheduling policies for flexible manufacturing systems. IEEE Transactions on Automatic Control, 37, 4, 491-496. 144. Hanisch, H. M, (1992), Coordination Control Modelling in Batch Production Systems by Meansof Petri Nets, Comp. Chem. Engng, 16, 1, 1-10.A. LOZANO and O. CHIOTTI 145. Sahinidis, N.V. and I.E. Grossmann, "Reformulation of the Multiperiod MILP Model for Capacity Expansion of Chemical Processes," Operations Research 40(Supp. 1), S127-S144 (1992). 146. Straub, D.A. and I.E. Grossmann, "Evaluation and Optimization of Stochastic Flexibility in Multiproduct Batch Plants," Computers and Chemical Engineering 16, 69-87 (1992). 147. Varvarezos, D.K., I.E. Grossmann and L.T. Biegler, "An Outer Approximation Method for Multiperiod Design Optimization, Ind. Eng. Chem. Research 311466-1477 (1992). 148. Voudouris, V.T. and I.E. Grossmann, "Mixed-Integer Linear Programming Models for the Optimal Design of Batch Processes with Discrete Sizes," Ind. Eng. Chem. Research 31, 13151325 (1992). Publication 1993 149. B. Ivanov, K. Peneva, N. Vaklieva-Bancheva, Synthesis of Cost Optimal Heat Integrated Batch Systems, Hungarian Journal of Industrial Chemistry, Volume 21, pp. 7-14, 1993, (English). 150. Boyan B. Ivanov, Natasha G. Vaklieva-Bancheva, Krasimira L. Peneva Synthesis of Batch Systems with Heat Storage Tanks. Design and Retrofit Problems Bulgarian Chemical Communications, v 26, No 1, pp. 122-133, 1993. (English). 151. N. Vaklieva-Bantcheva, B. Ivanov, A New Approach for Determination the Horizon Constraints for Design Problem of Multipurpose Batch Chemical Plants, Computers & Chemical Engineering, Volume 17, pp. S21-S26, 1993 (English). 152. N. Vaklieva-Bancheva, B. Ivanov, Determination of the Horison Constraints in Multipurpose Chemical Plant Design, Hungarian Journal of Industrial Chemistry, Volume 21, pp. 87-92, 1993 (English). 153. B. Ivanov, K. Peneva, N. Bancheva Heat Integration in Batch Reactors Operating in Different Time Intervals. Part I. A Hot-Cold Reactor Systems with Two Storage Tanks, Hungarian Journal of Industrial Chemistry, Volume 21, pp. 201-207 1993 (English) 154. B. Ivanov, K. Peneva, N. Bancheva Heat Integration in Batch Reactors Operating in Different Time Intervals. Part II. A Hot-Cold Reactor Systems with a Common Storage Tank, Hungarian Journal of Industrial Chemistry, Volume 21, pp. 209-216, 1993 (English). 155. B. Ivanov, K. Peneva, N. Bancheva Heat Integration in Batch Reactors Operating in Different Time Intervals. Part III. Synthesis and Reconstruction of Integrated Systems with Heat Tanks, Hungarian Journal of Industrial Chemistry, Volume 21, pp. 217-223, 1993 (English). 156. Ivanov B., Vaklieva-Bancheva N., K.Peneva Syntheses of batch systems with heat storage tanks. Design and retrofit problems [818], CHISA’93 full texts, 29 August-3 September,1993, Praha, Czech Republic. (English) 157. Kondili, E., Pantelides, C. C., & Sargent, R. W. H. (1993). A general algorithm for short-term scheduling of batch operations. I. MILP formulation. Computers and Chemical Engineering, 17, 211–227. 158. N. Shah, C. C. Pantelides, and R.W. H. Sargent, “Ageneral algorithm for short-term scheduling of batch operations-II. Computational issues,” Computers & Chemical Engineering vol. 17, pp. 229–244, 1993. 159. Shah, N., C.C. Pantelides, R.W.H. Sargent, 1993. Optimal periodic scheduling of multipurpose batch plants. 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Edwards, A Lagrangean Decomposition Approach for the Design and Planning of O_shore Hydrocarbon Field Infrastructures with Complex Economic Objectives, Submitted for publication(2000). 396. Brucker, P., J. Hurink, 2000. Solving a chemical batch scheduling problem by local search. Annals of Operations Research 96, 17-38. 397. Das, B.P., N. Shah, P.W.H. Chung, W. Huang, 2000. Comparative study of time based and activitybased production scheduling. Hungarian Journal of Industrial Chemistry 28 (1), 7-10. 398. Huang, W., P.W.H. Chung, 2000. Scheduling of Pipeless Batch Plants Using Constraint Satisfaction Techniques. Computers and Chemical Engineering 24 (2-7),377-383. 399. Rodrigues, L.A., M.Graells, J.Canton, L.Gimeno, M.T.M.Rodrigues, A.Espuna,L.Puigjaner, 2000. Utilization of processing time windows to enhance planning and scheduling in short term multipurpose batch plants. Computer and Chemical Engineering 24, 353-359. 400. Vin, J. P., M. G. Ierapetritou, 2000. 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Math., 146(1):99–113, 2002. Sino-Japan Optimization Meeting (Hong Kong, 2000). 419. Comparison of Scheduling Algorithms for a Multi-Product Batch-Chemical Plant with a Generalized Serial Network Niem-Trung L. Tra, 2000 420. Onlain Scheduling of multiproduct batch plants under uncertainty Germany, 2000 Publication 2001 421. Portougal, V. and Trietsch, D. (2001). Stochastic scheduling with optimal customer service. Journal of the Operational Research Society, 52, 226{233. 422. Zhu, X.X. and Majozi, T. (2001). Novel continuous time MILP formulation for multipurpose batch plants. 2. Integrated planning and scheduling. Industrial and En- gineering Chemistry Research, 40, 5621{5634. 423. Engell, S., Markert, A., Sand, G., Schultz, R., Schulz, C., 2001. Online scheduling of multiproduct batch plants under uncertainty. In: Grotschel, M., 424. Vin, J., Ierapetritou, M., 2001. Robust short-term scheduling of multiproduct batch plants under demand uncertainty. Industrial and Engineering Chemistry Research 40, 4543{4554. 425. Badell, M., & Puigjaner, L. A. (2001). Advanced enterprise resource management systems for the batch industry. The TicTacToe algorithm.Computers and Chemical Engineering, 25, 517–538. 426. Linninger, A. A., & Chakraborty, A. (2001). Pharmaceutical waste management under uncertainty. Computers and Chemical Engineering, 25,675–681. 427. Maravelias, C. T., & Grossmann, I. E. (2001). Simultaneous planning for new product development and batch manufacturing facilities. I&ECResearch, 40, 6147–6164. 428. Maravelias, C. and I.E. Grossmann, “Simultaneous Planning for New Product Development and Design of Manufacturing Facilities,” Proceedings ENPROMER Vol. 1, pp. 211-216 (2001). 16 429. ni, A. (2001). Challenges and opportunities in process control: Biomedical processes. AIChE Journal, 47, 2140. 430. Perea, E., Grossmann, I. E., Ydstie, E., & Tahmassebi, T. (2001). Dynamic modeling and decentralized control of supply chains. I&EC Research, 40, 3369–3383. 431. Engell, S., Märkert, A., Sand, G., Schultz, R., Schulz, C. (2001).Online scheduling of multiproduct batch plants underuncertainty. Online Optimization of Large Scale Systems,Springer, 649. 432. Schulz, C. (2001) Modeling and optimization of a multi-product batch plant. PhD thesis, Dortmund University, Germany 433. Kim, J.H.; Han, C. Short-term multiperiod Optimal planning of Utility systems Using Heuristics and Dynamic Programming, Ind. Eng. Chem. Res. (2001) 40, 1928. 434. S. Engell, A. M¨arkert, G. Sand, R. Schultz, and C. Schulz, “Online scheduling of multiproduct batch plants underuncertainty,” in Online Optimization of Large Scale Systems,M. Gr¨otschel, S. O. Krumke, and J. Rambau (eds.),Springer: Berlin, 2001, pp. 649–676. 435. T. Majozi and X. Zhu. A novel continuous-time MILP formulation for multiporpose batch plants. 1.short-term scheduling. Ind. Eng. Chem. Res., 40(25):5935{5949, 2001. 436. Linninger, A. A. and Chakraborty, A. "Pharmaceutical Waste Management under Uncertainty", Comp. Chem. Eng., 25, 675-681 (2001). 437. Perea, E., I.E. Grossmann, E. Ydstie and T. Tahmassebi, "Dynamic Modeling and Decentralized Control of Supply Chains," I&EC Res. 40, 3369-3383 (2001). 438. Datta, B., V.K. Jayaraman, B.D. Kulkarni, 2001. A comparative study of annealing methods for batch scheduling problems. Chemical Engineering Research & Design 79(A6), Sep., 673-683. 439. Kelleher, G., P. Cavichiollo, 2001. Supporting rescheduling using CSP, RMS andPOB – an example application. Journal of Intelligent Manufacturing 12, 343-357. 440. Lee, K.H., S. Chung, H. K. Lee, I. B. Lee, 2001. Continuous time formulation of short-term scheduling for pipeless batch plants. Journal of Chemical Engineering ofJapan 34 (10), 1267-1278. 441. High Level Optimization Model for the Retrofit Planning of Process Networks Jennifer R. Jackson and Ignacio E. Grossmann* Department of Chemical Engineering Carnegie Mellon University Pittsburgh, PA 15213 August 2001 442. Bj¨orkqvist, J., Karlsson, S., Rosl¨of, J., R¨onnback, R., Westerlund, T., Mar. 2001a. Ageneral batch scheduling optimization system using iterative mathematical methods, submitted. 443. Bj¨orkqvist, J., Rosl¨of, J., R¨onnback, R.,Westerlund, T., 2001b. Evaluation of an iterativemathematical optimization approach for industrial size batch scheduling. In: ICheaP5Proceedings Vol. 1. 444. Rosl¨of, J., Harjunkoski, I., Bj¨orkqvist, J., Karlsson, S., Westerlund, T., 2001a. An MILPbased reordering algorithm for complex industrial scheduling and rescheduling. Cce 25 (4-6), 821{828. 445. Rosl¨of, J., Harjunkoski, I., Westerlund, T., Isaksson, J., 2001b. Solving a large-scale industrial scheduling problem using milp combined with a heuristic procedure, accepted to European Journal of Operational Research. 446. Markowitz, David M., and Lawrence M. Wein, “Heavy traffic analysis of dynamic cyclic policies: a unified treatment of the single machine scheduling problem,” Operations Research, Volume 49, Number 2, pages 246-270, 2001. 447. SHORT-TERM SCHEDULING OF MULTIPRODUCT BATCH PLANTS UNDER LIMITED RESOURCE CAPACITY,C. A. MÉNDEZ, G. P. HENNING and J. CERDÁ INTEC (UNL CONICET) Guemes 3450 - 3000 Santa Fe – ARGENTINA E-mail: jcerda@intec.unl.edu.ar Latin American Applied Research 31:455-462 (2001) 448. Kyu-Hwang Lee; Heung Il Park; In Beum Lee. A Novel Non uniform Discrete Time Formulation for Short-Term Scheduling of Batch and Continuous Processes. Ind. Eng. Chem. Res., 2001, 40, 49024911. 449. Castro, P.; Barbosa-Povoa, A. P. F. D.; Matos, H. An Improved RTN Continuous-Time Formulation for the Short term Scheduling of Multipurpose Batch Plants. Ind. Eng. Chem. Res. 2001, 40, 20592068. 450. Lee, K.; Il Park, H.; In Beum Lee. A Novel Nonuniform Discrete Time Formulation for Short-Term Scheduling of Batch and Continuous Processes. Ind. Eng. Chem. Res. 2001, 40, 4902-4911. 451. 191. Perea, E., I.E. Grossmann, E. Ydstie and T. Tahmassebi, "Dynamic Modeling and Decentralized Control of Supply Chains," I&EC Res. 40, 3369-3383 (2001). 452. 192. Van den Heever, S.A., I.E. Grossmann, S. Vasantharajan and K. Edwards, "A Lagrange an Decomposition Heuristic for the Design and Planning of Offshore Hydrocarbon Field Infrastructures with Complex Economic Objectives," I&EC Res. 40, 2857-2875(2001). 453. 200. Harjunkoski, I.and I.E. Grossmann, "A Decomposition Approach for the Scheduling of a Steel Plant Production," Computers and Chemical Engineering 25, 1647-1660 (2001). 454. 203. Harjunkoski, I. and I.E. Grossmann, “Hybrid CP/MILP Method for Scheduling of Multistage Batch Plants,” Proceedings ESCAPE-11 (eds. R. Gani and S.B. Jorgensen), pp.877-882 (2001). 455. Balasubramanian, J. and I.E. Grossmann, "Scheduling to Minimize the Expected Completion Time in Flowshops with Uncertain Processing Times," Proceedings ENPROMER Vol. 1, pp. 205-210 (2001). 456. Sebastian Engell, Andreas M¨arkert, Guido Sand, R¨udiger Schultz, and Christian Schulz. Online scheduling of multiproduct batch plants under uncertainty. In Online optimization of large scale systems, pages 649–676. Springer, Berlin, 2001. 457. Sebastian Engell, Andreas M¨arkert, Guido Sand, R¨udiger Schultz, and Christian Schulz. Online scheduling of multiproduct batch plants under uncertainty. In Online optimization of large scale systems, pages 649–676. Springer, Berlin, 2001. 458. ADVANCES IN LOGIC-BASED OPTIMIZATION APPROACHES TO PROCESS INTEGRATION AND SUPPLY CHAIN MANAGEMENT Ignacio E. Grossmann , CHAPTER 11, 2001 459. A METHOD TO OPTIMIZE SCHEDULING IN SMALL BATCH MANUFACTURING Adrián Guillermo Lucero1, Abelardo Alves de Queiroz2 1 Dep. of Mechanical Eng., UFSC, CEP 88040-900. CP Nº476, Florianópolis, SC, Brazil aglucero@grucon.ufsc.br 2 Dep. of Mechanical Eng, UFSC, CEP 88040-900. CP Nº476, Florianópolis, SC, Brazil. abelardo@emc.ufsc.br , 2001 460. Chapter 1.Introduction, objective and motivations , 2001 461. CHAPTER 8: RESULTS AND CONCLUSIONS ,MUSIER AND EVANS SCHEDULING ALGORITHM RESULTS FOR, SET 2: CUSTOMER ORDERS ,2001 462. Applied Stochastic Integer Programming:Scheduling in the Processing Industries S. Engell1, A. M¨arkert2, G. Sand1, and R. Schultz2, 2001 463. Discrete Optimization Methods and their Role in the Integration of Planning and Scheduling Ignacio E. Grossmann1, Susara A. van den Heever and Iiro Harjunkoski, 2001 464. Research Challenges in Process Systems EngineeringIgnacio E. Grossmann and Arthur W. Westerberg, 2001 465. Discrete and disjunctive optimization:Parallel strategies and applications in industrial scheduling Jerker Bj orkqvist ,2001 466. SUPERVISING CONTROL SUPPORT SYSTEM OF A MULTIPURPOSE BATCHPLANT STRUCTURED BY PROCESS AND BY ACTIVITYA. LOZANO, O. CHIOTTI 1, 2001 467. Pharmaceutical Plant Expansion and Optimization Using BATCHES Jim Wann Hoechst Celanese Corpus Christi, Texas, 2001 Publication 2002 468. Bernal-Haro, L., Azzaro-Pantel, C., Pibouleau, L. and Domenech, S. (2002). Multiob-jective batch plant design: a two-stage methodology. 2. Developement of a geneticalgorithm and result analysis. Industrial and Engineering Chemistry Research, 41,5743{5758. 469. Gordon, V.S., Proth, J.M. and Chu, C. (2002). Due date assignment and scheduling: SLK, TWK and other due date assignment models. Production Planning and Control, 12(2), 117{132. 470. Grunow, M., GÄunther, H.O. and Lehmann, M. (2002). Campaign planning for multi-stage batch processes in the chemical industry. OR Spectrum, 24(3), 281{314. 471. Ivanescu, C.V., Fransoo, J.C. and Bertrand, J.W.M. (2002). Makespan estimation and order acceptance in batch process industries when processing times are uncertain. OR Spectrum, 24(4), 467{495. 472. Lewis, H.F. and Slotnick, S.A. (2002). Multi-period job selection: planning work loads to maximize pro¯t. Computers and Operations Research, 29(8), 1081{1098. 473. Wera, Y. (2002). Production planning and raw materials management models in the process industry. Ph.D. thesis, Universit¶e de Liµege. 474. Grossmann, I.E., S.A. van den Heever and I. Harjunkoski, "Discrete Optimization Methods and their Role in the Integration of Planning and Scheduling," AIChE Sympsium Series No. 326, Vol. 98, pp.150-168 (2002) 475. Jackson, J.R. and I.E. Grossmann, “High Level Optimization Model for the Retrofit Planning of Process Networks,” I&EC Research 41,3762-3770 (2002). 476. Balasubramanian, J., Grossmann, I., 2002. A novel branch and bound algorithm for scheduling ow shop plants with uncertain processing times. Com-54puters and Chemical Engineering 26, 41{57. 477. Schulz, C., 2002. Modelling and optmization of a multiproduct processing plant. Dr.-Ing.-Dissertation, Universit•at Dortmund, Department of Chemical Engineering, Dortmund, Germany, in German. 478. Balasubramanian, J., & Grossmann, I. E. (2002). Scheduling to minimize expected completion time in flowshop plants with uncertain processing times. Computers and Chemical Engineering, 26, 41–57. 479. Biehl, M., Prater, E., & Realff, M. (2002). Modeling and simulation of areverse supply chain in an uncertain environment. In Proceedings ofthe INFORMS, San Jose. 480. Grossmann, I. E., van den Heever, S. A., & Harjunkoski, I. (2002). Discrete optimization methods and their role in the integration of planning and scheduling. In Proceedings of the AIChE Symposium Series No.326, Vol. 98 (pp. 150–168). 481. Julka, N., Karimi, I., & Srinivasan, R. (2002). Agent-based re.nery supply chain management. ESCAPE-12, The Hague. 482. Nishi, T., Konishi, M., Hasebe, S., & Hashimoto, I. (2002). Autonomous decentralized supply chain optimization system for multi-stage production processes. In Proceedings of the 2002 Japan–USA Symposium on Flexible Automation (pp. 131–138). 483. X. Lin, C. Floudas, and S. Modi. Continuous-time optimization approach for medium-range production scheduling of a multiproduct batch plant. Ind. Eng. Chem. Res., 41:3884{3906, 2002. 484. Biehl, M., E. Prater, and M. Realff, "Modeling and Simulation of a Reverse Supply Chain in an Uncertain Environment," INFORMS, San Jose, 2002. 485. Julka, N., I. Karimi and R. Srinivasan, “Agent-Based Refinery Supply Chain Management,” ESCAPE12, The Hague (2002) 486. Nishi, T., Masami Konishi, Shinji Hasebe, and Iori Hashimoto, "Autonomous Decentralized Supply Chain Optimization System for Multi-stage Production Processes", Proceedings of 2002 Japan-USA Symposium on Flexible Automation, pp. 131-138 (2002). 487. Giannelos, N.F.; Georgiadis, M.C. A Simple New Continuous-Time Formulation for Short-Term Scheduling of Multipurpose Batch Processes. Ind. Eng. Chem. Res. 2002, 41, 2178-2184. 488. Balasubramanian and I.E. Grossmann, "A Novel Branch and Bound Algorithm for Scheduling Flowshop Plants with Uncertain Processing Times," Computers and Chemical Engineering 26, 41-57 (2002). 489. Jackson, J.R. and I.E. Grossmann, “High Level Optimization Model for the Retrofit Planning of Process Networks,” I&EC Research 41,3762-3770 (2002). 490. Harjunkoski, I. and I.E. Grossmann, “Decomposition Techniques for Multistage Scheduling Problems using Mixed-integer and Constraint Programming Methods,” Computers and Chemical Engineering 26, 1533-1552 (2002). 491. Van den Heever, S.A. and I.E. Grossmann, "A Mixed-integer Nonlinear Programming Approach to the Optimal Planning of Offshore Oilfield Infrastructures," submitted for publication (2002). 492. -based and Decomposition Algorithm for the Scheduling of Testing Tasks in New Product Development of Pharmaceuticals and Agrochemicals. Applied Mathematical Programming and Modeling Conference, 2002, Varenna, Italy. 493. -Term Scheduling of Multipurpose Plants. 2002 AIChE Annual Meeting, Indianapolis, IN. - Also presented in 2002 INFORMS Annual Meeting, San Jose, CA. 494. Astrid Franz and Karl Heinz Hoffmann. Optimal annealing schedules for a modified Tsallis statistics. J. Comput. Phys., 176(1):196–204, 2002. 495. Scheduling of Batch Plants: Constraint-Based Approach and Performance Investigation Wei Huang a and Bo Chen b., 2002 496. Rescheduling manufacturing systems: a framework of strategies, policies, and methods, Guilherme E. Vieira Department of Control and Industrial Automation Engineering, Catholic University of Parana, Curitiba, Parana, Brazil , Jeffrey W. Herrmann Department of Mechanical Engineering and Institute for Systems Research, University of Maryland, College Park, MD 20742, USA , Edward Lin Institute for Systems Research, University of Maryland, College Park, MD 20742, USA , 2002 497. SCHEDULING OF MULTIPURPOSE BATCH PROCESSES WITH MULTIPLE BATCHES OF THE PRODUCTS T. HOLCZINGER, J. ROMERO1, L. PUIGJANER1 and F. FRIEDLER, 2002 Publication 2003 498. Ivanescu, C.V., Fransoo, J.C. and Bertrand, J.W.M. (2003a). Planning and scheduling in the process industry. In GÄunther, H.O. and van Beek, P. (eds), Advanced planning and scheduling solutions in process industries. Springer, Berlin. 499. Ivanescu, V.C., Fransoo, J.C. and Bertrand, J.W.M. (2003b). On the selectivity of order acceptance procedures in batch process industries. BETA WP 99. 500. Kallrath, J. (2003). Planning and scheduling in the process industry. In GÄunther, H.O. and van Beek, P. (eds), Advanced planning and scheduling solutions in process industries. Springer, Berlin. 501. Maravelias, C.T. and Grossmann, I. (2003). New general continuous-time state-task network formulation for short-term scheduling of multipurpose batch plants. In- dustrial and Engineering Chemistry Research, 42, 3056{3074. 502. Maravelias, C.T. and I.E. Grossmann, "A New General Continuous-Time State Task Network Formulation for Short Term, Scheduling of Multipurpose Batch Plants,” I&EC Research, 42, 30563074(2003). 503. Sahinidis, N.V., "Optimization under Uncertainty: State-of-the-Art and Opportunities,"Proceedings of FOCAPO2003 (Eds. I.E. Grossmann and C.M. McDonald), Coral Springs(2003). 504. Engell, S., M•arkert, A., Sand, G., Schultz, R., 2003. Aggregated scheduling of a multiproduct batch plant by two-stage stochastic integer programming.Optimization and Engineering Submitted. 505. Maravelias, C. T., & Grossmann, I. E. (2003). A new general continuous time state task network formulation for short term, scheduling of multipurpose batch plants. I&EC Research, 42, 3056–3074. 506. Masini, G., Petracci, N., & Bandoni, A. (2003). Supply chain optimizationin the fruit industry. In I. E. Grossmann & C. M. McDonald (Eds.),Proceedings of the FOCAPO 2003 (pp. 237–240). CACHE. 507. Mendez, C., & Cerda, J. (2003). An MILP framework for reactive scheduling of resource-constrained multistage batch facilities. In I. E. 508. Romero, J., Badell, M., Bagajewicz, M., & Puigjaner, L. (2003). Integrating budgeting models into scheduling and planning models for the chemical batch industry. Industrial Engineering and Chemistry Research, 42(24), 6125–6134. 509. A TWO-STAGE STOCHASTIC INTEGER PROGRAMMING APPROACH TO REAL-TIME SCHEDULING Guido Sand and Sebastian Engell Process Control Laboratory, Dortmund University 44221 Dortmund, Germany, FOCAPO,2003 510. Aggregated Scheduling of a Multiproduct Batch Plant by Two-Stage Stochastic Integer Programming SEBASTIAN ENGELL, Department of Biochemical and Chemical Engineering, University of Dortmund, Emil-Figge-Str. 70,D-44221 Dortmund, Germany email: s.engell@ct.uni-dortmund.de ANDREAS M¨ ARKERT Institute of Mathematics, University Duisburg-Essen, Campus Duisburg, Lotharstr. 65, D-47057 Duisburg, Germany email: maerkert@math.uni-duisburg.de GUIDO SAND Department of Biochemical and Chemical Engineering, University of Dortmund, Emil-Figge-Str. 70, D-44221 Dortmund, Germany email: g.sand@ct.uni-dortmund.de R ¨ UDIGER SCHULTZ. Institute of Mathematics, University Duisburg-Essen, Campus Duisburg, Lotharstr. 65, D-47057 Duisburg, Germany email: schultz@math.uni-duisburg.de Received April 19, 2002; Revised October 2, 2003 511. J. Kallrath. Planning and scheduling in the process industry. In H. O. Gunther and P. van Beek,editors, Advanced Planning and Scheduling Solutions in Process Industry, pages 201{227. Springer-Verlag, 2003.25 512. C. Maravelias and I. Grossman. New general continuous-time state-task network formulation for shortterm scheduling of multipurpose batch plants. Ind. Eng. Chem. Res., 42:3056{3074, 2003a. 513. C. Maravelias and I. Grossman. Minimization of the makespan with a discrete-time state-task networkformulation. Ind. Eng. Chem. Res., 42:6252{6257, 2003b. 514. J. Miller, G. L. Nemhauser, and M. W. P. Savelsbergh. A multi-item production planning model with setup times: Algorithms, reformulations, and polyhedral characterizations for a special case.Math. Prog., 95(1):71{90, 2003. 515. K. Neumann, C. Schwindt, and N. Trautmann. Advanced production scheduling for batch plants inprocess industry. In H. O. Gunther and P. van Beek, editors, Advanced Planning and Scheduling Solutions in Process Industry, pages 43{71. Springer-Verlag, 2003. 516. H. Stadtler. Multilevel lot-sizing with setup times and multiple constrained resources: Internally rolling schedules with lot-sizing windows. Oper. Res., 51(3):487{502, 2003. 517. Lasschuit, W. and N. Thijssen, "Supporting Supply Chain Planning And Scheduling Decisions in the Oil and Chemical Industry," Proceedings FOCAPO 2003 (Eds. I.E. Grossmann and C.M. McDonald), pp.37-44, CACHE (2003). 518. Maravelias, C.T. and I.E. Grossmann, "A New General Continuous-Time State Task Network Formulation for Short Term, Scheduling of Multipurpose Batch Plants,” I&EC Research, 42, 30563074(2003a). 519. Maravelias, C.T. and I. E. Grossmann, "A Hybrid MILP/CP Decomposition Approach for the Continuous Time Scheduling of Multipurpose Batch Plants," submitted for publication (2003b). 520. Masini, G., N. Petracci and A. Bandoni, "Supply Chain Optimization in the Fruit Industry," Proceedings FOCAPO 2003 (Eds. I.E. Grossmann and C.M. McDonald), pp.237-240, CACHE (2003). 521. Mendez, C. and J. Cerda, “An MILP Framework for Reactive Scheduling of Resource-Constrained Multistage Batch Facilities,” Proceedings FOCAPO 2003 (Eds. I.E. Grossmann and C.M. McDonald), pp.335-338, CACHE (2003). 522. Neiro, S.M.S. and J.M. Pinto, "Supply Chain Optimization of Petroleum Refinery Complexes," Proceedings FOCAPO 2003 (Eds. I.E. Grossmann and C.M. McDonald), pp.59-72, CACHE (2003). 523. Romero, J., M. Badell, M. Bagajewicz, and L. Puigjaner, “Integrating Budgeting Models into Scheduling and Planning Models for the Chemical Batch Industry,” Ind. Eng. Chem. Res., 42 (24), 6125 -6134 (2003). 524. Sahinidis, N.V., "Optimization under Uncertainty: State of the Art and Opportunities," Proceedings FOCAPO 2003 (Eds. I.E. Grossmann and C.M. McDonald), pp.153-165, CACHE (2003). 525. Shah, N., "Pharmaceutical Supply Chains: Key Issues and Strategies for Optimization," Proceedings FOCAPO 2003 (Eds. I.E. Grossmann and C.M. McDonald), pp.73-85, CACHE (2003). 526. Shapiro, J., "Challenges of Strategic Supply Chain Planning and Modeling," Proceedings FOCAPO 2003 (Eds. I.E. Grossmann and C.M. McDonald), pp.27-34, CACHE (2003). 527. Venkatsubramanian, V., "Abnormal Events Management in Complex Process Plants: Challenges and Opportunities in Intelligent Supervisory Control," Proceedings FOCAPO 2003 (Eds. I.E. Grossmann and C.M. McDonald), pp.117-132, CACHE (2003). 528. An Integrated System Solution for Supply Chain Optimization in the Chemical Process Industry Dr. Juergen S. Kussi , Dr. Franz-Josef Toelle Bayer AG (http://www.bayer.com/), ZT-TE Process Systems Engineering, 51368 Leverkusen, Germany FOCAPO 2003 Meeting, January 12 –15, 2003, in Coral Springs, Florida 529. Maravelias, C.T.; Grossmann, I.E. A New General Continuous-Time State Task Network Formulation forthe Short-Term Scheduling of Multipurpose Batch Plants. Ind. Eng. Chem. Res., 2003, 42 (13), 3056-3074. 530. Maravelias, C.T.; Grossmann, I.E. A Hybrid MILP/CP Decomposition Approach for the Short TermScheduling of Multipurpose Batch Plants. Submitted for publication (2003). 531. Perea, E., E. Ydstie and I.E. Grossmann, "A Model Predictive Control Strategy for Supply Chain Optimization," Computers and Chemical Eng., 27, 1201-1218 (2003). 532. Balasubramanian,J. and I.E. Grossmann, “Scheduling Optimization under Uncertainty – An Alternative Approach,” Computers and Chemical Engineering 27, 469-490 (2003). 533. Maravelias, C.T. and I.E. Grossmann, "A New MILP Variable Resource Constrained Scheduling Model for the Testing of New Pharmaceuticals and Agrochemicals," Proceedings FOCAPO2003 (Eds. I.E. Grossmann and C.M. McDonald), pp.253-256 (2003). 17 534. Maravelias, C.T. and I.E. Grossmann, "A New General Continuous-Time State Task Network Formulation for Short Term, Scheduling of Multipurpose Batch Plants,” I&EC Research, 42, 30563074(2003). 535. Maravelias, T.C.; Grossmann, I. E. New Continuous-Time State Task Network Formulation for the Scheduling of Multipurpose Batch Plants. Ind. Eng. Chem. Res., 2003, 42 (13), 3056 – 3074. 536. -Constrained Scheduling Model for the Testing of Pharmaceuticals and Agrochemicals. In Proceedings of the 4th International Conference on Foundations of Computer- Aided Operations, Coral Springs, FL. 2003, 253-256. 537. of Batch Plants. In Proceedings of the 5th International Workshop on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, Montreal, Canada. 2003, 109-123. - Also accepted for presentation in INFORMS 2003 Annual Meeting, Atlanta, GA. 538. -Time State Task Network Formulation for Short-Term Scheduling of Batch Plants. In Proceedings of the 13th European Symposium on Computer-Aided Process Engineering, Lappeenranta, Finland. 2003, 215-220. 539. Maravelias, T.C.; Grossmann, I.E. A General Continuous State Task Network Formulation for Short Term Scheduling of Multipurpose Batch Plants with Due Dates. To be published in Proceedings of PSE 2003, Kunming, China. 540. Makespan of Batch Plants. Accepted for presentation in 2003 AIChE Annual Meeting, San Francisco, CA. 541. g Tasks in New Product Development of Pharmaceuticals and Agrochemicals Using Constraint Programming. Accepted for presentation in 2003 AIChE Meeting, San Francisco, Under Uncertainty. ICHEME Symposium Series 133:427-34. 542. Van den Heever, S.A. and I.E. Grossmann, “A Strategy for the Integration of Production Planning and Reactive Scheduling in the Optimization of a Hydrogen Supply Network,” Computers and Chemical Engineering, 27, 1813-1839 (2003). 543. Jackson, J.R., J. Hofmann, J. Wassick and I.E. Grossmann, "A Nonlinear Multiperiod Process Optimization Model for Production Planning in Multi-Plant Facilities," Proceedings FOCAPO2003 (Eds. I.E. Grossmann and C.M. McDonald), pp.281-284 (2003). 544. Houze, M., N. Juhasz and I.E. Grossmann, "Optimization Model for the Production and Scheduling of Catalyst Loads Changeouts in a Process with Decaying Performance," Proceedings FOCAPO2003 (Eds. I.E. Grossmann and C.M. McDonald), pp.311-314 (2003). 545. Jackson, J. and Ignacio E. Grossmann, "A Temporal Decomposition Scheme for Nonlinear Multisite Production Planning and Distribution Models," I&EC Research, 42, 3045-3055 (2003). 546. Stochastic Integer Programming Bibliography Maarten H. van der Vlerk Department of Econometrics and OR University of Groningen PO Box 800, NL-9700 AV Groningen, The Netherlands E-mail: m.h.van.der.vlerk@eco.rug.nl May 2, 2003 547. Additions to the Stochastic Programming Bibliography Maarten H. van der Vlerk Department of Econometrics and OR University of Groningen PO Box 800, NL-9700 AV Groningen, The Netherlands E-mail: m.h.van.der.vlerk@eco.rug.nl May 2, 2003 548. 25th Year Issue on Computers and Chemical Engineering, Retrospective on Optimization Lorenz T. Biegler and Ignacio E. Grossmann Department of Chemical Engineering Carnegie Mellon University Pittsburgh, PA 15213, 2003 549. Modelling and Solving Real-Time Scheduling Problems by Stochastic Integer Programming G. Sand, S. Engell _ Process Control Laboratory, University Dortmund, 44221 Dortmund, Germany, 2003 550. EMERGENCY CONSIDERED OPTIMIZATION FOR A UTILITY PLANT WITH QUANTITATIVE SAFETY CONSTRAINTS J.H. KIM and C. HAN Department of Chemical Engineering, Pohang University of Science and Technology, Pohang, Kyungbuk 790-784, Korea H.S. YI School of Environmental Science and Engineering, Pohang University of Science and Technology, Pohang, Kyungbuk 790-784, Korea, 2003 551. A systematic approach for multi-objective process design in multi-purpose batch plants, A dissertation submitted to the Swiss Federal Institute of Technology Zurich (ETHZ) For the degree of Doctor of Technical Sciences, 2003 Publication 2004 552. B. Ivanov, N. Vaklieva-Bancheva and K. Mintchev, Methodology for optimal resources used control in case of compatible batch chemical processes 10th INTERNATIONAL SUMMER SCHOOL OF CHEMICAL ENGINEERING- V a r n a May 24 - 31, 2004 (English), (Poster full version) 553. B. Ivanov, and K. Mintchev Software of optimal control production campaigns in cases of multipurpose batch chemical engineering systems -10th INTERNATIONAL SUMMER SCHOOL OF CHEMICAL ENGINEERING- V a r n a May 24 - 31, 2004 (English), (Poster full version) 554. Б.Иванов, М.Минчев Софтуер за определяне на производствени разписания при работата на мнагоцелеви и многопродуктови химико-технологични системи, осигуряващи оптимално натоварване на системите за ресурсопотребление , доклад пред Петата национална конференция по химия, 29.09.2004 – 1.10.2004, София (Bulgarian), (Presentation in PPT format) 555. Хр. Бояджиев, Б.Иванов, Н. Ваклиева-Банчева, Софтуер за синтез, реновация и оптимално управление на многоцелеви химико-технологични системи с периодични процеси със снижени емисии на вредни вещества в околната среда, Новости БАН, Юни,2004г., Брой 6 (10),година 2 (Bulgarian), (English) 556. Ivanov B.B. and Minchev K., Optimal Loading the Systems for Resource Consumption in Case of Multiproduct and Multipurpose Batch Chemical Plants (Teoretical Aspects and Software Realization), Представена лекция пред факултета по информационни технологии при Веспремския университет, Унгария, 10 ноември 2004г. 15 часа (English) 557. К.Минчев, Е.Шопова, Б.Иванов, Софтуер за определяне на производствени разписания при работата на многоцелеви и многопродуктови химико-технологични системи осигуряващи оптимално натоварване на системите за ресурсопотребление, устен доклад пред младежкия симпозиум организиран в рамките на младежкото изложение “ЕКСПО-ИНТЕЛЕКТ’04” 02.12.2004г. (награден с диплома) (Грамота за участие) (Bulgarian) 558. Scheduling Tank Container Movements for Chemical LogisticsI.A. Karimi, M. Sharafali and H. Mahalingam AIChE Fall 2004 - 10: Computing and Systems Technology Division 559. Design and Scheduling of Multi-Period and Multipurpose Batch PlantsSoon-Ki Heo and In-Beum Lee AIChE Fall 2004 - 10: Computing and Systems Technology Division 560. A Comparison of Continuous-time Models for Scheduling Noncontinuous Plants Suresh P. Sivanandam, Ganesh Balla, Arul Sundaramoorthy and I.A. Karimi AIChE Fall 2004 - 10: Computing and Systems Technology Division 561. A Continuous-Time Formulation for Scheduling Multi-Stage Multi-product Batch Plants with IdenticalParallel Units Liu Yu and I. A. Karimi AIChE Fall 2004 - 10: Computing and Systems Technology Division 562. Order acceptance under uncertainty in batch process industries, Virginia Cristina Iv¸anescu prof.dr.ir. J.W.M. Bertrand en prof.dr. J.P.C. Kleijnen, 4 oktober 2004 563. Ivanescu, V.C., Fransoo, J.C. and Bertrand, J.W.M. (2004b). A hybrid policy to correct for the selectivity of order acceptance procedures in batch process industries. under review. 564. Maravelias, C.T. and I. E. Grossmann, "A Hybrid MILP/CP Decomposition Approach for theContinuous Time Scheduling of Multipurpose Batch Plants," to appear in Computers and ChemicalEngineering (2004). 565. Challenges in the new millennium: product discovery and design, enterprise and supply chain optimization, global life cycle assessment, Ignacio E. Grossmann., Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA, Received 21 May 2004; accepted 20 July 2004 Available online 25 August 2004 566. Lasschuit, W., & Thijssen, N. (2004). Supporting supply chain planning and scheduling decisions in the oil and chemical industry. Computersand Chemical Engineering, 28, 863–870. 567. Maravelias, C. T., & Grossmann, I. E. (2004). A hybrid MILP/CP decomposition approach for the continuous time scheduling of multipurpose batch plants. Computers and Chemical Engineering, 28, 1921–1949. 568. Neiro, S. M. S., & Pinto, J. M. (2004). A general modeling framework for the operational planning of petroleum supply chains. Computers and Chemical Engineering, 28, 871–896. 569. Sahinidis, N. V. (2004). Optimization under uncertainty: state-of-the art and opportunities. Computers and Chemical Engineering, 28, 971–983. 570. Shah, N. (2004). Pharmaceutical supply chains: key issues and strategies for optimisation. Computers and Chemical Engineering, 28, 929–941. 571. Shapiro, J. (2004). Challenges of strategic supply chain planning and modeling. Computers and Chemical Engineering, 28, 855–861. 572. T¨urkay, M., Oruc¸, C., Fujita, K., & Asakura, T. (2004). Multi-company collaborative supply chain management with economical and environmental considerations. Computers and Chemical Engineering, 28, 985–992. 573. Multi-Task/Multi-Stage Production Planning and Scheduling for Process Industries Francesco Gaglioppa¤ Lisa A. Millery Saif Benjaafarz August 18, 2004 574. Barbaro A. F. and M. Bagajewicz, “Managing Financial Risk in Planning under Uncertainty, “ to appear in AIChE Journal (2004). 575. Maravelias, C.T.; Grossmann, I.E. A Hybrid MILP/CP Decomposition Approach for the Short Term Scheduling of Multipurpose Batch Plants. Comput. Chem. Eng. 2004, 28, 1921-1949. 576. Maravelias, C.T. and I. E. Grossmann, "A Hybrid MILP/CP Decomposition Approach for the Continuous Time Scheduling of Multipurpose Batch Plants," Computers and Chemical Engineering, 28, 1921-1949 (2004). 577. Balasubramanian, J. and I. E. Grossmann, "Approximation to Multistage Stochastic Optimization in Multiperiod Batch Plant Scheduling under Demand Uncertainty," I&EC Research 43, 3695-3713 (2004). 578. Grossmann, I.E., “Challenges in the New Millennium: Product Discovery and Design, Enterprise and Supply Chain Optimization, Global Life Cycle Assessment,” to appear in Computers and Chemical Engineering (2004). 579. Maravelias, C.T. and I. E. Grossmann, “Optimal resource investment and scheduling of tests for new product development,” Computers and Chemical Engineering, 28 pp. 1021–1038 (2004) 580. Maravelias C.T. and I.E. Grossmann, “Using MILP and CP for the scheduling of batch chemical processes, Lecture Notes Comp. Sci., 3011: pp. 1-20 (2004). 581. Grossmann, I.E., “Advances in Logic-Based Optimization Approaches to Process Integration And Supply Chain Management,” to appear in Advances in Chemical Engineering (eds. M.A. Galan and E. Del Valle) (2004). 582. Grossmann, I.E., “Advances in Logic-Based Optimization Approaches to Process Integration And Supply Chain Management,” to appear in Advances in Chemical Engineering (eds. M.A. Galan and E. Del Valle) (2004). 583. Challenges in the New Millennium: Product Discovery and Design, Enterprise and Supply Chain Optimization, Global Life Cycle Assessment Ignacio E. Grossmann, 2004 584. Minimization of Makespan with Discrete-Time State-Task Network Formulation Christos T. Maravelias, Ignacio E. Grossmann ., 2004 585. On the Relation of Continuous and Discrete Time Models for the State-Task Network Formulation Christos T. Maravelias1 and Ignacio E. Grossmann2 ., 2004 586. Design and Retrofit of Periodic Batch Plants: A RTN Based Approach Tânia Pintoa, Ana Paula F. §b D. Barbósa-Póvoa and Augusto Q. Novaisa aD.M.S., INETI, Est. do Paço do Lumiar, 1649-038 Lisboa, Portugal bC.E.G.-IST, DEG, IST., Av. Rovisco Pais, 1049-101 Lisboa, Portugal, 2004